Scene hook
Last night, I was revising a client proposal alone again.
It was 11 p.m. in a 24-hour cafe in Binjiang, Hangzhou. I was scrolling through chat logs while reworking the quote, timeline, and the client's preferred tone. The most exhausting part wasn't the workload itself. It was making my brain jump back and forth between copy, spreadsheets, and folders. I've gotten stuck here too: wanting AI help, while not feeling great about dumping all of a client's materials onto the internet.
What this is + who is already using it
What caught my attention this time wasn't yet another "smarter" chat box. It was a different approach: run an AI assistant as much as possible on your own computer, let it look through local files, and have it handle a chain of actions for you—finding materials, organizing context, and carrying out tasks in sequence. For teams like ours with 1 to 5 people, the value isn't necessarily that it's "stronger." It's that there's less hassle, less exposure, and less tool switching.
Last month, Afeng, who edits podcasts, was in a coworking space in Nanshan, Shenzhen at 3 p.m., exporting audio while organizing a guest outline. He vented to me that the most tiring part was explaining the same background information to different tools over and over. A local AI assistant like this fits people whose materials live on their computer year-round and who want help pulling files together and linking tasks naturally. Of course, I got this wrong at first too—I assumed that once I installed it, it could replace a person right away. Later I realized it's more like an assistant that can run alongside me, not a fully automated employee.
What it would cost to replicate today
If you want to try it today, the replication cost is roughly this: $0-20; 30-90 minutes; and the technical barrier is basically being able to install desktop software and understand what the buttons say. You don't need to know how to code. The first step is simple: open the official site, click "Download," and install it. After that, don't chase complex automation right away. Just test one small task—for example, have it read three documents in one folder and turn them into a one-page summary.
This isn't something everyone needs. If you only ask AI a few questions now and then, an online tool may still be easier, and that's fine. But if you're already paying attention to document privacy, or you're repeatedly feeding the same background into tools every day, I do think this is worth keeping an eye on.
Advice by stage: just starting / 1-2 clients / scaling up
If you're just starting out, I'd treat it as a "local document organizer" first: test it with your own pricing sheet, self-introduction, and past case studies. I wouldn't build a complicated workflow on day one.
If you already have 1-2 clients, I'd prioritize using it for the "re-explaining the background" problem. Put client materials, communication records, and delivery templates together, then let it help with summaries and first drafts. This is where I personally saved a lot of time digging back through old messages.
If you're scaling up, I'd look at two things first: who on the team handles sensitive files often, and who repeats the same type of organizing work every day. If the fit is there, then slowly plug a local AI assistant into content organization, knowledge-base retrieval, and pre-delivery checks. No need to force it all at once.